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Inferring the regulatory network behind a gene expression experiment

Transcription factors (TFs) and miRNAs are the most important dynamic regulators in the control of gene expression in multicellular organisms. These regulatory elements play crucial roles in development, cell cycling and cell signaling, and they have also been associated with many diseases. The Regu...

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Autores principales: Bleda, Marta, Medina, Ignacio, Alonso, Roberto, De Maria, Alejandro, Salavert, Francisco, Dopazo, Joaquin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394273/
https://www.ncbi.nlm.nih.gov/pubmed/22693210
http://dx.doi.org/10.1093/nar/gks573
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author Bleda, Marta
Medina, Ignacio
Alonso, Roberto
De Maria, Alejandro
Salavert, Francisco
Dopazo, Joaquin
author_facet Bleda, Marta
Medina, Ignacio
Alonso, Roberto
De Maria, Alejandro
Salavert, Francisco
Dopazo, Joaquin
author_sort Bleda, Marta
collection PubMed
description Transcription factors (TFs) and miRNAs are the most important dynamic regulators in the control of gene expression in multicellular organisms. These regulatory elements play crucial roles in development, cell cycling and cell signaling, and they have also been associated with many diseases. The Regulatory Network Analysis Tool (RENATO) web server makes the exploration of regulatory networks easy, enabling a better understanding of functional modularity and network integrity under specific perturbations. RENATO is suitable for the analysis of the result of expression profiling experiments. The program analyses lists of genes and search for the regulators compatible with its activation or deactivation. Tests of single enrichment or gene set enrichment allow the selection of the subset of TFs or miRNAs significantly involved in the regulation of the query genes. RENATO also offers an interactive advanced graphical interface that allows exploring the regulatory network found.RENATO is available at: http://renato.bioinfo.cipf.es/.
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spelling pubmed-33942732012-07-30 Inferring the regulatory network behind a gene expression experiment Bleda, Marta Medina, Ignacio Alonso, Roberto De Maria, Alejandro Salavert, Francisco Dopazo, Joaquin Nucleic Acids Res Articles Transcription factors (TFs) and miRNAs are the most important dynamic regulators in the control of gene expression in multicellular organisms. These regulatory elements play crucial roles in development, cell cycling and cell signaling, and they have also been associated with many diseases. The Regulatory Network Analysis Tool (RENATO) web server makes the exploration of regulatory networks easy, enabling a better understanding of functional modularity and network integrity under specific perturbations. RENATO is suitable for the analysis of the result of expression profiling experiments. The program analyses lists of genes and search for the regulators compatible with its activation or deactivation. Tests of single enrichment or gene set enrichment allow the selection of the subset of TFs or miRNAs significantly involved in the regulation of the query genes. RENATO also offers an interactive advanced graphical interface that allows exploring the regulatory network found.RENATO is available at: http://renato.bioinfo.cipf.es/. Oxford University Press 2012-07 2012-06-11 /pmc/articles/PMC3394273/ /pubmed/22693210 http://dx.doi.org/10.1093/nar/gks573 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Bleda, Marta
Medina, Ignacio
Alonso, Roberto
De Maria, Alejandro
Salavert, Francisco
Dopazo, Joaquin
Inferring the regulatory network behind a gene expression experiment
title Inferring the regulatory network behind a gene expression experiment
title_full Inferring the regulatory network behind a gene expression experiment
title_fullStr Inferring the regulatory network behind a gene expression experiment
title_full_unstemmed Inferring the regulatory network behind a gene expression experiment
title_short Inferring the regulatory network behind a gene expression experiment
title_sort inferring the regulatory network behind a gene expression experiment
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394273/
https://www.ncbi.nlm.nih.gov/pubmed/22693210
http://dx.doi.org/10.1093/nar/gks573
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